private void LogNormalDistribution_Dist_Correct_Mean()
{
var expectedMean = 5;
var expectedLogMean = 8.4;
var expectedLogStd = 11.0;
var nValues = 1000000;
var rndGen = new Random(1);
var config = new TestAggregateFormationConfig()
{
ModalRadius = expectedMean,
StdPPRadius = 1
};
var dist = new LogNormalSizeDistribution(rndGen, config);
var distValues = new List <double>(nValues);
for (int i = 0; i < nValues; i++)
{
distValues.Add(dist.GetRandomSize());
}
var actualDistMean = distValues.Average();
var actualDistStd = Math.Sqrt(distValues.Average(v => Math.Pow(v - actualDistMean, 2)));
Assert.Equal(expectedLogMean, actualDistMean, 1);
Assert.Equal(expectedLogStd, actualDistStd, 0);
}
private void LogNormalDistribution_Correct_Mean()
{
var expectedMean = 5;
var rndGen = new Random(1);
var config = new TestAggregateFormationConfig()
{
ModalRadius = expectedMean,
StdPPRadius = 1
};
var dist = new LogNormalSizeDistribution(rndGen, config);
Assert.Equal(expectedMean, dist.Mean);
}
